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Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
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![Immagine del venditore per Direct and inverse boundary value problems. [Papers presented to the 12th Conference on "Methods and Techniques of Mathematical Physics", held on November 26 - December 2, 1989 at the Mathematisches Forschungsinstitut Oberwolfach]. (= Methoden und Verfahren der mathematischen Physik - Band 37). venduto da Antiquariat Silvanus - Inhaber Johannes Schaefer](https://pictures.abebooks.com/inventory/md/md31492392370.jpg)
Direct and inverse boundary value problems. [Papers presented to the 12th Conference on "Methods and Techniques of Mathematical Physics", held on November 26 - December 2, 1989 at the Mathematisches Forschungsinstitut Oberwolfach]. (= Methoden und Verfahren der mathematischen Physik - Band 37).
Lingua: Inglese
Editore: Peter Lang, Frankfurt am Main, Bern, New York, Paris, 1991
ISBN 10: 363143765X ISBN 13: 9783631437650
Da: Antiquariat Silvanus - Inhaber Johannes Schaefer, Ahrbrück, Germania
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Aggiungi al carrello313 Seiten, 363143765X Sprache: Englisch Gewicht in Gramm: 400 8°, Original-Karton (Softcover), Bibliotheks-Exemplar (ordnungsgemäß entwidmet) mit Rückenschild, Stempel auf Titel, insgesamt gutes und innen sauberes Exemplar,
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Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
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Editore: World Scientific Publishing Co Pte Ltd, 2026
ISBN 10: 9819827922 ISBN 13: 9789819827923
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Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
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Editore: World Scientific Publishing Co Pte Ltd, 2026
ISBN 10: 9819827922 ISBN 13: 9789819827923
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Some direct and inverse problems of mathematical physics
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659523178 ISBN 13: 9783659523175
Da: Books Puddle, New York, NY, U.S.A.
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Mathematical Aspects of Inverse & Direct Problems of Thermoelasticity: Thermoelastic Problems
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659804800 ISBN 13: 9783659804809
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Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2026
ISBN 10: 9819827922 ISBN 13: 9789819827923
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Aggiungi al carrelloPaperback. Condizione: New. This book explores how Artificial Intelligence and Deep Learning are transforming Mathematical Physics, offering modern data-driven tools where traditional analytical and numerical methods fall short. As physical systems grow more complex or chaotic, deep learning provides efficient surrogates and physics-informed models capable of capturing dynamics and uncovering governing laws directly from data.This book introduces Neural ODEs, Physics-Informed Neural Networks (PINNs), and Hamiltonian and Lagrangian Neural Networks, showing how they enhance classical mechanics and PDE solvers for both forward and inverse problems. With Keras code examples, Google Colab notebooks, and practical exercises, this book serves researchers and students in physics, mathematics, and engineering seeking a concise, hands-on guide to applying deep learning in physical systems.
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Mathematical Aspects of Inverse & Direct Problems of Thermoelasticity: Thermoelastic Problems
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659804800 ISBN 13: 9783659804809
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Aggiungi al carrelloPaperback. Condizione: Brand New. 164 pages. 8.66x5.91x0.37 inches. In Stock.
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Some direct and inverse problems of mathematical physics: Stationary and non-stationary diffusion
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659523178 ISBN 13: 9783659523175
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Aggiungi al carrelloPaperback. Condizione: Brand New. 128 pages. 8.66x5.91x0.29 inches. In Stock.
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Direct and Inverse Problems of Mathematical Physics
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Some direct and inverse problems of mathematical physics | Stationary and non-stationary diffusion
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659523178 ISBN 13: 9783659523175
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Some direct and inverse problems of mathematical physics | Stationary and non-stationary diffusion | Issabek Orazov | Taschenbuch | 128 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659523175 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Direct and Inverse Problems of Mathematical Physics (International Society for Analysis, Applications and Computation)
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Direct and Inverse Problems of Mathematical Physics (INTERNATIONAL SOCIETY FOR ANALYSIS, APPLICATIONS AND)
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Mathematical Aspects of Inverse & Direct Problems of Thermoelasticity | Thermoelastic Problems
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659804800 ISBN 13: 9783659804809
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Mathematical Aspects of Inverse & Direct Problems of Thermoelasticity | Thermoelastic Problems | Suchitra Meshram | Taschenbuch | 164 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659804809 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Direct and Inverse Problems of Mathematical Physics
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Direct and Inverse Problems of Mathematical Physics
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Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
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Direct and Inverse Problems of Mathematical Physics
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Direct and Inverse Problems of Mathematical Physics
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Direct and Inverse Problems of Mathematical Physics
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Direct and Inverse Problems of Mathematical Physics | R. P. Gilbert (u. a.) | Taschenbuch | International Society for Analysis, Applications and Computation | vii | Englisch | 2010 | Springer | EAN 9781441948182 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2026
ISBN 10: 9819827922 ISBN 13: 9789819827923
Da: Rarewaves.com UK, London, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. This book explores how Artificial Intelligence and Deep Learning are transforming Mathematical Physics, offering modern data-driven tools where traditional analytical and numerical methods fall short. As physical systems grow more complex or chaotic, deep learning provides efficient surrogates and physics-informed models capable of capturing dynamics and uncovering governing laws directly from data.This book introduces Neural ODEs, Physics-Informed Neural Networks (PINNs), and Hamiltonian and Lagrangian Neural Networks, showing how they enhance classical mechanics and PDE solvers for both forward and inverse problems. With Keras code examples, Google Colab notebooks, and practical exercises, this book serves researchers and students in physics, mathematics, and engineering seeking a concise, hands-on guide to applying deep learning in physical systems.
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Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2026
ISBN 10: 981982723X ISBN 13: 9789819827237
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Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2026
ISBN 10: 981982723X ISBN 13: 9789819827237
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume consists of papers presented in the special sessions on 'Wave Phenomena and Related Topics', and 'Asymptotics and Homogenization' of the ISAAC'97 Congress held at the University of Delaware, during June 2-7, 1997. The ISAAC Congress coincided with a U.S.-Japan Seminar also held at the University of Delaware. The latter was supported by the National Science Foundation through Grant INT -9603029 and the Japan Society for the Promotion of Science through Grant MTCS-134. It was natural that the 'participants of both meetings should interact and consequently several persons attending the Congress also presented papers in the Seminar. The success of the ISAAC Congress and the U.S.-Japan Seminar has led to the ISAAC'99 Congress being held in Fukuoka, Japan during August 1999. Many of the same participants will return to this Seminar. Indeed, it appears that the spirit of the U.S.-Japan Seminar will be continued every second year as part of the ISAAC Congresses. We decided to include with the papers presented in the ISAAC Congress and the U.S.-Japan Seminar several very good papers by colleagues from the former Soviet Union. These participants in the ISAAC Congress attended at their own expense. This volume has the title Direct and Inverse Problems of Mathematical Physics which consists of the papers on scattering theory, coefficient identification, uniqueness and existence theorems, boundary controllability, wave propagation in stratified media, viscous flows, nonlinear acoustics, Sobolev spaces, singularity theory, pseudo differential operators, and semigroup theory.
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EUR 114,36
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume consists of papers presented in the special sessions on 'Wave Phenomena and Related Topics', and 'Asymptotics and Homogenization' of the ISAAC'97 Congress held at the University of Delaware, during June 2-7, 1997. The ISAAC Congress coincided with a U.S.-Japan Seminar also held at the University of Delaware. The latter was supported by the National Science Foundation through Grant INT -9603029 and the Japan Society for the Promotion of Science through Grant MTCS-134. It was natural that the 'participants of both meetings should interact and consequently several persons attending the Congress also presented papers in the Seminar. The success of the ISAAC Congress and the U.S.-Japan Seminar has led to the ISAAC'99 Congress being held in Fukuoka, Japan during August 1999. Many of the same participants will return to this Seminar. Indeed, it appears that the spirit of the U.S.-Japan Seminar will be continued every second year as part of the ISAAC Congresses. We decided to include with the papers presented in the ISAAC Congress and the U.S.-Japan Seminar several very good papers by colleagues from the former Soviet Union. These participants in the ISAAC Congress attended at their own expense. This volume has the title Direct and Inverse Problems of Mathematical Physics which consists of the papers on scattering theory, coefficient identification, uniqueness and existence theorems, boundary controllability, wave propagation in stratified media, viscous flows, nonlinear acoustics, Sobolev spaces, singularity theory, pseudo differential operators, and semigroup theory.
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Direct and Inverse Problems of Mathematical Physics (International Society for Analysis, Applications and Computation (5))
Da: Mispah books, Redhill, SURRE, Regno Unito
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Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2026
ISBN 10: 981982723X ISBN 13: 9789819827237
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. This book explores how Artificial Intelligence and Deep Learning are transforming Mathematical Physics, offering modern data-driven tools where traditional analytical and numerical methods fall short. As physical systems grow more complex or chaotic, deep learning provides efficient surrogates and physics-informed models capable of capturing dynamics and uncovering governing laws directly from data.This book introduces Neural ODEs, Physics-Informed Neural Networks (PINNs), and Hamiltonian and Lagrangian Neural Networks, showing how they enhance classical mechanics and PDE solvers for both forward and inverse problems. With Keras code examples, Google Colab notebooks, and practical exercises, this book serves researchers and students in physics, mathematics, and engineering seeking a concise, hands-on guide to applying deep learning in physical systems.
-
Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2026
ISBN 10: 981982723X ISBN 13: 9789819827237
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 550 pages. 6.00x1.19x9.00 inches. In Stock.
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Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2026
ISBN 10: 981982723X ISBN 13: 9789819827237
Da: Rarewaves.com UK, London, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. This book explores how Artificial Intelligence and Deep Learning are transforming Mathematical Physics, offering modern data-driven tools where traditional analytical and numerical methods fall short. As physical systems grow more complex or chaotic, deep learning provides efficient surrogates and physics-informed models capable of capturing dynamics and uncovering governing laws directly from data.This book introduces Neural ODEs, Physics-Informed Neural Networks (PINNs), and Hamiltonian and Lagrangian Neural Networks, showing how they enhance classical mechanics and PDE solvers for both forward and inverse problems. With Keras code examples, Google Colab notebooks, and practical exercises, this book serves researchers and students in physics, mathematics, and engineering seeking a concise, hands-on guide to applying deep learning in physical systems.
